Enterprise Analytics and Modeling

3 weeks ago

Washington, United States Fannie Mae Full time

Company Description At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance. Job Description As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing. THE IMPACT YOU WILL MAKE The Enterprise Analytics and Modeling - Quantitative Modeling - Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities: Fannie Mae seeks Quantitative Modeler – Washington, DC Apply mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives. Conduct or assess ad-hoc quantitative analyses, modeling, or programming using SAS, SQL, Python, and R. Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Identify opportunities to apply quantitative methods to improve business performance. Ensure modeling projects are conducted in accordance with established company policies and generally-accepted modeling practices. Implement validation or testing strategies and assess the quality and risk of model methodologies, outputs, and processes. Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as technical reports, presentations, implementation documents, review reports, and white papers. Conduct theoretical and empirical research using public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, and macroeconomic models. Perform analysis to assess the quality and risk of model methodologies, outputs, and processes as well as reconciliation with other tools and systems created using R and Python. Mentor less experienced team members. This is a hybrid (work in office and at home) position. Qualifications THE EXPERIENCE YOU BRING TO THE TEAM Req’d: Master’s in Economics or Statistics plus three years of experience in financial analysis and modeling in the mortgage finance industry. Also required are experience in quantitative analysis, model development and implementation using SAS, SQL, R, and Python. Excellent written and oral communication skills. As a condition of employment with Fannie Mae, any successful job applicant will be required to pass a pre-employment drug screen and to successfully complete a background investigation, which may also include a credit check for positions in some areas of our business. Additional Information The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com. Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at careers_mailbox@fanniemae.com. #J-18808-Ljbffr

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